• Microbiology and Biotechnology Letters
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• v.13 no.3
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• pp.279-283
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• 1985

As a method of breeding L-lysine producing strains, the intergeneric protoplast fusion between Brevibacterium flavum and Corynebacterium glutamicum was performed. As a results, Brevibacterium flavum ATCC 21528 R showed 99％ of protoplast formation and 10％ of regeneration frequencies when treated with 400$\mu\textrm{g}$/$m\ell$ of lysozyme for 12hrs. In Corynebacterium glutamicum ATCC 21514 S, 99％ and 12％ were obtained by treatment of 300$\mu\textrm{g}$/$m\ell$ lysozyme for 12 hrs. In intergeneric protoplast fusion between Brevibacterium flavum ATCC 21528 R and Corynebacterium glutamicum ATCC 21831 S, 1.0$\times$10$^{-6}$ of recombinant frequency per regenerable cells was observed by use of PEG 6000, 30％(w/v). Among the strains obtained KR$_{43}$ strain showed 12％ higher productivity of L-lysine than the parental cell. Then, the activity of aspartokinase of KR$_{43}$ was about 13％ higher than the parental cell.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.245-253
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• 2017

The purpose of this field experimental study investigated the positive effects of coaching on emotional intelligence and communication competence. The experimental group(39 university students) had to two months of coaching education and four face-to-face coaching sessions. The control group(39 university students) did not have any coaching education and coaching sessions. To conduct ANCOVA, pre-measurement scores for each dependent variables, emotional intelligence and communication competence, were included as covariates and post-measurement scores were included as dependent variables. In control group, there was no difference between before and after measurement for each dependent variables. However, there was statistically significant difference between before and after measurement for each dependent variables in experimental group. This result confirmed that coaching caused increase in the level of emotional intelligence and communication ability.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.176-181
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• 2021

This study was conducted to confirm the effect of vibration on muscle activity in IASTM. The subjects were 20 healthy adults. The intervention applied in this study was IASTM applied to the biceps brachii muscle. In the case of the experimental group, unlike the control group, the vibration function was turned on when IASTM was applied. The interventions for each group were applied, and the muscle activity of the biceps brachii muscle was measured before and after the intervention. All measured values were calculated as %MVIC values, dependent t test and independent t test were performed and analyzed for comparisons. As a result of this study, only in the control group, the muscle activity of the biceps brachii muscle after the intervention was significantly decreased compared to before the intervention. When vibration is applied together with IASTM, the relaxation effect is reduced, which is considered to be inappropriate for treatment.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.1-12
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• 2022

As the music streaming service and the Hi-Fi market grow, various audio devices are being released. As a result, consumers have a wider range of product choices, but it has become more difficult to find products that match their musical tastes. In this study, we proposed a system that extracts the vocal component from the user's preferred sound source and recommends the most suitable audio device to the user based on this information. To achieve this, first, the original sound source was separated using Python's Spleeter Library, the vocal sound source was extracted, and the result of collecting frequency band data of manufacturers' audio devices was shown in a grid graph. The Matching Gap Index (MGI) was proposed as an indicator for comparing the frequency band of the extracted vocal sound source and the measurement data of the frequency band of the audio devices. Based on the calculated MGI value, the audio device with the highest similarity with the user's preference is recommended. The recommendation results were verified using equalizer data for each genre provided by sound professional companies.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.57-65
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• 2021

We propose a novel method to detect abnormal data of specific symptoms using deep learning in air pollution measurement system. Existing methods generally detect abnomal data by classifying data showing unusual patterns different from the existing time series data. However, these approaches have limitations in detecting specific symptoms. In this paper, we use DeepLab V3+ model mainly used for foreground segmentation of images, whose structure has been changed to handle one-dimensional data. Instead of images, the model receives time-series data from multiple sensors and can detect data showing specific symptoms. In addition, we improve model's performance by reducing the complexity of noisy form time series data by using 'piecewise aggregation approximation'. Through the experimental results, it can be confirmed that anomaly data detection can be performed successfully.

• The Journal of the Acoustical Society of Korea
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• v.41 no.4
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• pp.426-434
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• 2022

Bubbles generated by various causes in the ocean are known to persist for long periods of time. Although the volume occupied by bubbles in the ocean is small, the presence of bubbles in ocean due to resonance and attenuation greatly affects the acoustic properties. Accordingly, bistatic reverberation experiment was performed in the ocean where artificial bubbles exist. A number of transducers and receivers were installed on 6 buoys arranged in a hexagonal shape, and blowing agents were dropped in the center of the buoy to generate bubbles. For reverberation modeling that reflects acoustic characteristics changed by bubbles, the spatial distribution of bubbles was estimated using video data and received signals. A measurement-based bubble spectral shape was used, and it was assumed that the bubble density within the spatial distribution of the estimated bubble was the same. As a result, it was confirmed that the bubble reverberation was simulated in a time similar to the measured data regardless of the bubble density, and the bubble reverberation level similar to the measured data was simulated at a void fraction of about 10^-7 ~ 10^-6.8.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.213-220
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• 2023

Falling occurs unexpectedly during daily activities, causing many difficulties in life. The purpose of this study was to establish a system for fall detection of high-risk occupations and to verify their effectiveness by collecting data and applying it to predictive models. To this end, a wearable device was configured to detect fall by calculating acceleration signals and azimuths through acceleration sensors and gyro sensors. In addition, the study participants wore the device on their abdomen and measured necessary data from falls-related movements in the process of performing predetermined activities and transmitted it to the computer through a Bluetooth device present in the device. The collected data was processed through filtering, applied to fall detection prediction models based on deep learning algorithms which are 1D CNN, LSTM and CNN-LSTM, and evaluate the results.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.1-8
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• 2009

With the development of IT convergence technology and the construction of master plan for the four rivers restoration of the government, the importance of the eco-friendly water pollution management is being spotlighted. In this paper, we proposed the effective water pollution management using the reservoir tank automatic classification for improving the water quality and on-line managing efforts of ceo-friendly reservoir tanks. The proposed method defined the seven factors of water pollution evaluation and managed the water pollution according to hydrogen ion concentration(pH), chemical oxygen demand(COD), suspend solid(SS), dissolved oxygen(DO), count of coliform group(MPN), total phosphorus(T-P), and total nitrogen(T-N) using the sensors. We measured the values for the seven factors from the reservoir tank and normalized to ranging from 1 to 9. To evaluate the performance of the water pollution management using the reservoir tank automatic classification, we conducted F-measure so as to verify usefulness. This evaluation found that the difference of satisfaction by the traditional system was statistically meaningful.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.217-225
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• 2022

We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.159-167
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• 2019

This study aimed to evaluate the effects of oral rinsing solution on the color stability, surface microhardness and surface roughness change of composite resin. In this in-vitro study, 80 disc-shaped specimens were fabricated of Filtek P60 and Filtek Z250(A2 shade). The samples of each group were randomly divided into eight subgroups (n=10). The baseline color values ($L^*$, $a^*$, $b^*$) of each specimen were measured according to CIE LAB system using a colorimeter. After baseline color measurements, the control samples were immersed in distilled water and the test groups were immersed colorless, green and purple mouthrinses three times a day for thirty minutes. This process was repeated for two weeks. Green and purple oral rinsing solutions displayed color, microhardness and roughness change of all composite resin after immersion in the mouthrinses. Therefore, prescription of oral rinsing solution for a minimum of two weeks is a common practice, which may cause discoloration of aesthetic composite restorations of patients.